Streamline Your Document Management with the MCP Document Indexer!
Unlock the potential of local document indexing and search with our Python-based Model Context Protocol (MCP) server. Here’s what sets it apart:
- Real-time Document Monitoring: Automatically tracks and indexes new or modified files in your chosen folders.
- Multi-format Support: Compatible with PDF, Word (docx/doc), text, Markdown, and RTF files.
- Local LLM Integration: Utilize Ollama for quick summarization and keyword extraction—ensuring privacy as all processes occur locally.
- Vector Search: Smart semantic search using LanceDB and sentence transformers for precise results.
Performance Optimization:
- Incremental indexing minimizes resource usage by only processing changes.
- Efficient design ensures smooth operation on standard laptops (M1/M2 MacBooks).
Ready to elevate your document management experience? Explore the MCP Document Indexer now! 🌐 Share your thoughts and let’s innovate together!
